Delivering Evidence Based Care using artificial Intelligence to Patients with Diabetes and CardioVascular Comorbidities: The DECIDE-CV Innovation Project

Many people who have Type 2 Diabetes Mellitus (T2DM) are never diagnosed until the development of a major health problem develops. Among people with T2DM with cardiovascular risk factors, evidence-based therapies can prevent future cardiovascular diseases from occurring. Artificial intelligence (A.I) represents an opportunity to address these major public health issues.

The Definitive, Needle-Free Heart Scan – A Collaborative Effort Towards the Montreal Cardiac MR Protocol

and quantitative clinical assessment of the cardiovascular system. However, the clinical utility of CMR is impaired by the need for local expertise, the technical complexity, and time requirements required to perform it.Recently, several new techniques have radically changed the spectrum of CMR applications.

Automatic AI based detection of cranial deformity in infants

Positional plagiocephaly is an increasingly common form of cranial deformity in infants, affecting approximately 40% of infants under the age of 1. While it is not associated with developmental defects or learning impairments, there can be long term aesthetic implications for deformity that is not appropriately addressed early in life. Early identification of plagiocephaly and initiation of treatment is a key step in ensuring positive outcomes, but accurately monitoring the development of head shape is difficult when primary care physicians manage ever larger patient loads.

Developing Innovative Digital Interventions to Manage Chronic Pain in Canadian Veterans

Online health promotion programmes must be shown to improve health and promote a healthy lifestyle of the target population. These programmes are inexpensive and available to everybody. The company has previously
created an OHPP for Canadian Veterans in order to encourage a healthy lifestyle among Canadian Veterans. We will now develop a second platform to Compliment Chronic Pain in Canadian Veterans. Family members and other
participants will be able to profit from this programme as well. The most typical issues with OHPP are early dropout and low involvement.

Une entreprise en démarrage de Montréal améliore la précision des soins pédiatriques

Sofia Addab, Jean-Gabriel Lacombe et Georgia Powell poursuivent des études en maîtrise au département de chirurgie expérimentale de l’Université McGill à Montréal.

Creating a Map of Adipose Tissue Distribution and Automated Analysis for Plastic Surgery

The surgical practices involving fat are constantly evolving at the cutting edge of technology. Procedures involving fat manipulation, such as liposuction, contain a degree of subjectivity which is mainly guided by the surgeon's visual or tactile perception of the underlying fat. This lack of subjectivity raises an important issue regarding the surgeon's ability to replicate his work and predict the final results of the procedures. Moreover, there is currently no absolute method to measure the volume of the fat in real time effectively.

Development and validation of an automated diagnostic tool for wound imaging - Year two

Over 6.5 million people in North America live with chronic wounds which pose a burden on their quality of life and the healthcare system. Chronic wounds are estimated to cost over $30 billion per year. Swift Medical is a pioneer in point-of-care imaging for wounds. Their mobile apps allow the reliable and accurate measurement of wound characteristics, making it an ideal tool to track healing and identify healing patterns.

Population study of First Nations Communities and the Quebec population to determine HLA frequencies and common and rare haplotypes

The determination of HLA (Human Leukocyte Antigen) is of crucial importance for hematopoietic stem cell transplantation. The wide variability of the HLA system has some progressive advantages, but can make the search for compatible donors more complex for specific populations. While populations in the regions of Quebec were characterized several years ago for the HLA system, First Nations communities were not included in this study.

Development of a multiscale Monte Carlo based treatment planning system for patient specific dosimetry (DaRT-TPS)

With this proposal a software will be developed to enable delivery of a maximum amout of radiation to the tumour while sparing healthy tissues. This will benefit Canadian cancer patients as well as highly qualified personnel that will be trained in an interdisciplinary environment,

The development of an artificial intelligence-based platform to improve thecharacterization and the identification of unstable atherosclerotic plaques

Heart attacks and strokes are the leading causes of death and disability in the world. They are caused by the rupture of dangerous fatty deposits, called plaques, that build up in the arteries of the neck and heart. The only current method to identify whether a person is at risk of having a heart attack or stroke is to measure the narrowing of the artery caused by the plaque. However, this method is insufficient and leads to misdiagnosis or inappropriate treatment allocation.

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